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labelled vs semmcci

A side-by-side editorial comparison of labelled and semmcci — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

labelled vs semmcci: at a glance

Featurelabelledsemmcci
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessurvey-data, data-labels, stata-spss, metadatastructural-equation-modeling, monte-carlo, confidence-intervals, r-package
Last editorial update48m ago5h ago
WebsiteVisit →Visit →

What is labelled?

The bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.

labelled manages variable labels, value labels and user-defined missing values on data imported from Stata, SPSS and SAS, filling the gap between those formats' metadata and R's native types. Recent releases have pushed outward from the core label accessors: survey design objects from the survey package are now supported throughout, look_for() results can be rendered as formatted gt tables, and dictionary data frames convert in both directions. Error messaging moved wholesale to cli in 2.14.0.

Read the full labelled trajectory →

What is semmcci?

Monte Carlo confidence intervals for SEM, now mostly reacting to upstream deprecations

semmcci generates Monte Carlo confidence intervals for structural equation model parameters, working alongside lavaan. Its four-year release history is a run of patch versions from the jeksterslab account, each adding a function or adjusting method detail. The recent ones are quieter still: the latest addresses a lavaan::getCov() deprecation in tests, and the one before it is described only as minor method edits.

Read the full semmcci trajectory →

labelled vs semmcci: editorial side-by-side

L
labelled
ANALYTICS
0.0

The bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.

◆ Current state

labelled manages variable labels, value labels and user-defined missing values on data imported from Stata, SPSS and SAS, filling the gap between those formats' metadata and R's native types. Recent releases have pushed outward from the core label accessors: survey design objects from the survey package are now supported throughout, look_for() results can be rendered as formatted gt tables, and dictionary data frames convert in both directions. Error messaging moved wholesale to cli in 2.14.0.

◆ Where it's heading

The arc is toward being usable wherever labelled data ends up, not just where it is loaded. Each recent release either extends support to another object type — survey designs, packed columns, plain vectors, tibbles with list columns — or adds a conversion path between labels and some other representation. The look_for() search function has become a second centre of gravity alongside the label accessors, accumulating its own output formats and long-format conversions.

◆ Prediction

The pattern of adding compatibility with one more object type or output format per release is stable and likely continues. Nothing in these entries indicates a change to the underlying haven_labelled representation the package is built on.

S
semmcci
ANALYTICS
0.0

Monte Carlo confidence intervals for SEM, now mostly reacting to upstream deprecations

◆ Current state

semmcci generates Monte Carlo confidence intervals for structural equation model parameters, working alongside lavaan. Its four-year release history is a run of patch versions from the jeksterslab account, each adding a function or adjusting method detail. The recent ones are quieter still: the latest addresses a lavaan::getCov() deprecation in tests, and the one before it is described only as minor method edits.

◆ Where it's heading

The functional build-out finished some time ago. MCGeneric() in 1.1.3 and Func()/MCFunc() in 1.1.4 opened the package to user-defined functions of parameters, which is the natural end point for a Monte Carlo interval tool — once arbitrary functions are supported, there is little left to add. Since then releases have tracked lavaan's changes rather than semmcci's own direction, and the gap between them has stretched from months to over a year.

◆ Prediction

Expect the next release to be triggered by another lavaan deprecation rather than by new capability.

Alternatives to labelled and semmcci

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either labelled or semmcci.

See all labelled alternatives → · See all semmcci alternatives →

Recent activity from labelled and semmcci

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2mo agosemmccilavaan getCov() deprecation handled in tests
  2. 9mo agolabelledFormatted look_for() tables and two-way dictionary conversion
  3. 10mo agosemmcciMinor method edits
  4. 11mo agolabelledSurvey design objects supported across the package
  5. 1y agolabelledRegression in set_variable_labels() corrected
  6. 1y agolabelledcli adopted for all messaging; null_action gains options
  7. 2y agolabelledCustom functions can rewrite variable and value labels in bulk
  8. 2y agosemmcciUser-defined parameter functions via Func() and MCFunc()
  9. 2y agosemmcciMCGeneric() opens up arbitrary parameter targets
  10. 3y agosemmcciMultiple-imputation support via MCMI()
  11. 3y agolabelledPacked columns supported and label attributes exposed directly
  12. 3y agosemmcciData generation internals refactored

Frequently asked questions

What is the difference between labelled and semmcci?

Both compete on the same themes — r-package — within Analytics. labelled and semmcci are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is labelled better than semmcci?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. labelled and semmcci are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to labelled?

Top labelled alternatives in Analytics are ranked by recent ship velocity. Browse the "labelled alternatives" section above for the current picks, or visit /alternatives/labelled for the full list with editorial commentary on each.

What are the best alternatives to semmcci?

Top semmcci alternatives in Analytics are ranked by recent ship velocity. Browse the "semmcci alternatives" section above for the current picks, or visit /alternatives/semmcci for the full list with editorial commentary on each.